Evidence map›Paper›PMID 31733652›Full record

ArticleJournal of neuroinflammation2019

Natalizumab promotes activation and pro-inflammatory differentiation of peripheral B cells in multiple sclerosis patients.

Jan W Traub, Hannah L Pellkofer, Katja Grondey, Ira Seeger, Christoph Rowold, Wolfgang Brück, Leila Husseini, Silke Häusser-Kinzel, Martin S Weber

Open access · goldAbstract read
In one paragraph

Article in Journal of neuroinflammation, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 1 pooled it
2.1field-weighted citation impact, top 12% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

24 citing papers in PubMed, 1 synthesis or guideline pooled it, 40 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Observational
  4. Current neuropharmacology · 2025
    Article
  5. Article
  6. Enhanced and cross-reactiveFrontiers in immunology · 2024
    Article
  7. Article
  8. Article
  9. Article
  10. High-dimensional immune profiling identifies a biomarker to monitor dimethyl fumarate response in multiple sclerosis.Proceedings of the National Academy of Sciences of the United States of America · 2022
    Article
  11. Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Review
  18. Article
  19. Review
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors at 2 institutions in 2 countries.

Jan W TraubInstitute of Neuropathology, University Medical Center, Robert-Koch-Straße 40, 37099 Göttingen, Germany.
Hannah L PellkoferDepartment of Neurology, University Medical Center, Robert-Koch-Straße 40, 37099 Göttingen, Germany.
Katja GrondeyInstitute of Neuropathology, University Medical Center, Robert-Koch-Straße 40, 37099 Göttingen, Germany.
Ira SeegerInstitute of Neuropathology, University Medical Center, Robert-Koch-Straße 40, 37099 Göttingen, Germany.
Christoph RowoldInstitute of Neuropathology, University Medical Center, Robert-Koch-Straße 40, 37099 Göttingen, Germany.
Wolfgang BrückInstitute of Neuropathology, University Medical Center, Robert-Koch-Straße 40, 37099 Göttingen, Germany.
Leila HusseiniDepartment of Neurology, University Medical Center, Robert-Koch-Straße 40, 37099 Göttingen, Germany.
Silke Häusser-KinzelInstitute of Neuropathology, University Medical Center, Robert-Koch-Straße 40, 37099 Göttingen, Germany.
Martin S WeberInstitute of Neuropathology, University Medical Center, Robert-Koch-Straße 40, 37099 Göttingen, Germany. martin.weber@med.uni-goettingen.de.ORCID http://orcid.org/0000-0001-8409-0389
University of Göttingen · DEInstitute of Neuroimmunology of the Slovak Academy of Sciences · SK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn the past, multiple sclerosis (MS) medications have been primarily designed to modulate T cell properties. Based on the emerging concept that B cells are equally important for the propagation of MS, we compared the effect of four commonly used, primarily T cell-targeting MS medications on B cells.

methodsUsing flow cytometry, we analyzed peripheral blood mononuclear cells (PBMC) of untreated (n = 19) and dimethyl fumarate (DMF; n = 21)-, fingolimod (FTY; n = 17)-, glatiramer acetate (GA; n = 18)-, and natalizumab (NAT; n = 20)-treated MS patients, focusing on B cell maturation, differentiation, and cytokine production.

resultsWhile GA exerted minor effects on the investigated B cell properties, DMF and FTY robustly inhibited pro-inflammatory B cell function. In contrast, NAT treatment enhanced B cell differentiation, activation, and pro-inflammatory cytokine production when compared to both intraindividual samples collected before NAT treatment initiation as well as untreated MS controls. Our mechanistic in vitro studies confirm this observation.

conclusionOur data indicate that common MS medications have differential, in part opposing effects on B cells. The observed activation of peripheral B cells upon NAT treatment may be instructive to interpret its unfavorable effect in certain B cell-mediated inflammatory conditions and to elucidate the immunological basis of MS relapses after NAT withdrawal.

trial registrationProtocols were approved by the ethical review committee of the University Medical Center Göttingen (#3/4/14).

Indexed as

AdultB-LymphocytesCell DifferentiationCells, CulturedDimethyl FumarateFemaleFingolimod HydrochlorideGlatiramer AcetateHumansImmunologic FactorsLymphocyte ActivationMaleMultiple Sclerosis, Relapsing-RemittingNatalizumabDimethyl FumarateFingolimod HydrochlorideGlatiramer AcetateImmunologic FactorsNatalizumabB cellsDimethyl fumarateFingolimodGlatiramer acetateMultiple sclerosisNatalizumab

Identifiers

PMID31733652
PMCPMC6858649
OpenAlexW2984510399

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.